3 papers
quant-ph2026
SesQ: A Surface Electrostatic Simulator for Precise Energy Participation Ratio Simulation in Superconducting Qubits
Ziang Wang, Shuyuan Guan, Feng Wu +6
An accurate and efficient numerical electromagnetic model for superconducting qubits is essential for characterizing and minimizing design-dependent dielectric losses. The energy p…
quant-ph2025
SuperGrad: a differentiable simulator for superconducting processors
Ziang Wang, Feng Wu, Hui-Hai Zhao +2
One significant advantage of superconducting processors is their extensive design flexibility, which encompasses various types of qubits and interactions. Given the large number of…
quant-ph2025
The effects of disorder in superconducting materials on qubit coherence
Ran Gao, Feng Wu, Hantao Sun +13
Introducing disorderness in the superconducting materials has been considered promising to enhance the electromagnetic impedance and realize noise-resilient superconducting qubits.…